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Title: An open science resource for establishing reliability and reproducibility in functional connectomics

Abstract

Efforts to identify meaningful functional imaging-based biomarkers are limited by the ability to reliably characterize inter-individual differences in human brain function. Although a growing number of connectomics-based measures are reported to have moderate to high test-retest reliability, the variability in data acquisition, experimental designs, and analytic methods precludes the ability to generalize results. The Consortium for Reliability and Reproducibility (CoRR) is working to address this challenge and establish test-retest reliability as a minimum standard for methods development in functional connectomics. Specifically, CoRR has aggregated 1,629 typical individuals’ resting state fMRI (rfMRI) data (5,093 rfMRI scans) from 18 international sites, and is openly sharing them via the International Data-sharing Neuroimaging Initiative (INDI). To allow researchers to generate various estimates of reliability and reproducibility, a variety of data acquisition procedures and experimental designs are included. Similarly, to enable users to assess the impact of commonly encountered artifacts (for example, motion) on characterizations of inter-individual variation, datasets of varying quality are included.

Authors:
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [10];  [11];  [12];  [13];  [14];  [15];  [9];  [16];  [17];  [18];  [19] more »;  [20];  [21];  [22];  [23];  [24];  [25];  [26];  [23];  [27];  [28];  [29];  [30];  [17];  [9];  [31];  [32];  [11];  [29];  [20];  [33];  [34];  [35];  [34];  [29];  [11];  [36];  [37];  [38];  [39];  [25];  [40];  [41];  [9];  [6];  [42];  [23];  [43];  [25];  [44];  [45];  [46];  [11];  [47];  [25];  [48];  [49];  [50];  [23];  [11];  [29];  [35];  [51];  [52];  [23];  [53];  [35];  [23];  [11];  [23];  [54];  [53];  [34];  [53];  [23];  [55] « less
  1. Chinese Academy of Sciences (CAS), Beijing (China). Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology; Southwest University, Chongqing (China) Faculty of Psychology
  2. Univ. of Utah, Salt Lake City, UT (United States). Division of Neuroradiology
  3. Unité de neuroimagerie fonctionnelle, Centre de recherche de l’institut universitaire de gériatrie deMontréal, Université de Montréal, Montreal, Quebec (Canada)
  4. Univ. of Wisconsin, Madison, WI (United States). Dept. of Psychiatry
  5. New Jersey Institute of Technology, Newark, NJ (United States). Dept. of Biomedical Engineering
  6. Institute of Clinical Radiology, Ludwig-Maximilians-University, Munich (Germany)
  7. McGill Univ., Montreal, QC (Canada). Centre for Studies on Prevention of Alzheimer’s Disease, Department of Psychiatry, Douglas Institute
  8. Harvard Univ., Cambridge, MA (United States). Dept. of Psychology
  9. Mind Research Network, Albuquerque, NM (United States)
  10. Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY (United States); Phyllis Green and Randolph Cōwen Institute for Pediatric Neuroscience, the Child Study Center at NYU Langone Medical Center, New York, NY (United States)
  11. Southwest University, Chongqing (China) Faculty of Psychology
  12. Hangzhou Normal University, Gongshu, Hangzhou, Zhejiang (China). Center for Cognition and BrainDisorders
  13. Southwest University, Chongqing (China), Faculty of Psychology
  14. Southwest University, Chongqing (China). Faculty of Psychology
  15. Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY (United States)
  16. Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY (United States); Child Mind Institute, New York, NY (United States). Center for the Developing Brain
  17. Phyllis Green and Randolph Cōwen Institute for Pediatric Neuroscience, the Child Study Center at NYU Langone Medical Center, New York, NY (United States)
  18. Chinese Academy of Sciences (CAS), Beijing (China). Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology; University of Chinese Academy of Sciences, Shijingshan, Beijing (China)
  19. Chinese Academy of Sciences (CAS), Beijing (China). Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology; Chinese Academy of Sciences (CAS), Beijing (China). State Key Laboratory of Brain and Cognitive Science, Institute of Psychology
  20. Sichuan Univ., Chengdu (China), Huaxi MR Research Center (HMRRC), Dept. of Radiology
  21. Max Planck Inst. for Human Cognitive and Brain Sciences, Leipzig (Germany). Max Planck Research Group for Neuroanatomy & Connectivity
  22. Capital Medical University, Beijing (China). Dept. of Neurology, Xuanwu Hospital
  23. Chinese Academy of Sciences (CAS), Beijing (China). Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology; University of Chinese Academy of Sciences, Shijingshan, Beijing (China)
  24. Beijing Normal University, Beijing (China). State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research
  25. Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY (United States); Child Mind Institute, New York, NY (United States). Center for the Developing Brain
  26. Yale Univ., New Haven, CT (United States). Dept. of Psychology
  27. Dartmouth College, Hanover, NH (United States). Dept. of Psychological and Brain Sciences, Center for Cognitive Neuroscience
  28. Chinese Academy of Sciences (CAS), Beijing (China). Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation
  29. Chinese Academy of Sciences (CAS), Beijing (China). Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology
  30. Dartmouth College, Hanover, NH (United States). Dept. of Psychological and Brain Sciences, Center for Cognitive Neuroscience
  31. Virginia Tech Carilion Research Institute, Roanoke, VA (United States)
  32. Univ. of Wisconsin, Madison, WI (United States). Dept. of Psychiatry
  33. Capital Medical University, Xicheng (Beijing). Dept. of Radiology, Xuanwu Hospital
  34. Beijing Normal University, Beijing (China). State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research
  35. Hangzhou Normal University, Gongshu, Hangzhou, Zhejiang (China). Center for Cognition and BrainDisorders
  36. Nanjing Univ., Nanjing (Jiangsu). Dept. of Medical Imaging, Jinling Hospital, School of Medicine
  37. Capital Medical University, Xicheng (Beijing). Dept. of Radiology, Xuanwu Hospital
  38. Univ. of Pittsburgh, PA (United States). Dept. of Psychiatry, School of Medicine
  39. Capital Normal University, Haidian (Beijing). Beijing Key Laboratory of Learning and Cognition, Dept. of Psychology
  40. Fudan Univ., Shanghai (China). Dept. of Neurosurgery, Huashan Hospital
  41. Max Planck Inst. for Human Cognitive and Brain Sciences, Leipzig (Germany). Max Planck Research Group for Neuroanatomy & Connectivity
  42. Univ. of Wisconsin, Madison, WI (United States). Dept. of Biomedical Engineering
  43. Univ. of Utah, Salt Lake City, UT (United States). Division of Neuroradiology
  44. Univ. of Pittsburgh, PA (United States). Dept. of Psychiatry, School of Medicine
  45. Univ. of Wisconsin, Madison, WI (United States). Dept. of Radiology
  46. Capital Medical University, Beijing (China). Dept. of Radiology, Xuanwu Hospital
  47. Fudan Univ., Shanghai (China). Dept. of Psychiatry, Huashan Hospital
  48. Fudan Univ., Shanghai (China). Dept. of Radiology, Huashan Hospital
  49. Max Planck Inst. for Human Cognitive and Brain Sciences, Leipzig (Germany). Dept. of Neurology
  50. Wuhan Univ. (China). Dept. of Psychiatry, Renmin Hospital of Wuhan
  51. Fudan Univ., Shanghai (China). Dept. of Neurosurgery, Huashan Hospital
  52. Chinese Academy of Sciences (CAS), Beijing (China). Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY (United States); Child Mind Institute, New York, NY (United States). Center for the Developing Brain
  53. Chinese Academy of Sciences (CAS), Beijing (China). Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology
  54. Nanjing Univ., Nanjing (Jiangsu). Dept. of Medical Imaging, Jinling Hospital, School of Medicine
  55. Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY (United States); Child Mind Institute, Center for the Developing Brain, NY (United States)
Publication Date:
Research Org.:
Univ. of California, Davis, CA (United States). MIND Institute
Sponsoring Org.:
USDOE Office of Science (SC)
Contributing Org.:
The Consortium for Reliability and Reproducibility (CoRR)
OSTI Identifier:
1624539
Grant/Contract Number:  
FG02-99ER62764
Resource Type:
Accepted Manuscript
Journal Name:
Scientific Data
Additional Journal Information:
Journal Volume: 1; Journal Issue: 1; Journal ID: ISSN 2052-4463
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; Science & technology - other topics; Brain imaging; Cognitive neuroscience; Functional magnetic resonance imaging; Neuroinformatics

Citation Formats

Zuo, Xi-Nian, Anderson, Jeffrey S., Bellec, Pierre, Birn, Rasmus M., Biswal, Bharat B., Blautzik, Janusch, Breitner, John C. S., Buckner, Randy L., Calhoun, Vince D., Castellanos, F. Xavier, Chen, Antao, Chen, Bing, Chen, Jiangtao, Chen, Xu, Colcombe, Stanley J., Courtney, William, Craddock, R. Cameron, Di Martino, Adriana, Dong, Hao-Ming, Fu, Xiaolan, Gong, Qiyong, Gorgolewski, Krzysztof J., Han, Ying, He, Ye, He, Yong, Ho, Erica, Holmes, Avram, Hou, Xiao-Hui, Huckins, Jeremy, Jiang, Tianzi, Jiang, Yi, Kelley, William, Kelly, Clare, King, Margaret, LaConte, Stephen M., Lainhart, Janet E., Lei, Xu, Li, Hui-Jie, Li, Kaiming, Li, Kuncheng, Lin, Qixiang, Liu, Dongqiang, Liu, Jia, Liu, Xun, Liu, Yijun, Lu, Guangming, Lu, Jie, Luna, Beatriz, Luo, Jing, Lurie, Daniel, Mao, Ying, Margulies, Daniel S., Mayer, Andrew R., Meindl, Thomas, Meyerand, Mary E., Nan, Weizhi, Nielsen, Jared A., O’Connor, David, Paulsen, David, Prabhakaran, Vivek, Qi, Zhigang, Qiu, Jiang, Shao, Chunhong, Shehzad, Zarrar, Tang, Weijun, Villringer, Arno, Wang, Huiling, Wang, Kai, Wei, Dongtao, Wei, Gao-Xia, Weng, Xu-Chu, Wu, Xuehai, Xu, Ting, Yang, Ning, Yang, Zhi, Zang, Yu-Feng, Zhang, Lei, Zhang, Qinglin, Zhang, Zhe, Zhang, Zhiqiang, Zhao, Ke, Zhen, Zonglei, Zhou, Yuan, Zhu, Xing-Ting, and Milham, Michael P. An open science resource for establishing reliability and reproducibility in functional connectomics. United States: N. p., 2014. Web. doi:10.1038/sdata.2014.49.
Zuo, Xi-Nian, Anderson, Jeffrey S., Bellec, Pierre, Birn, Rasmus M., Biswal, Bharat B., Blautzik, Janusch, Breitner, John C. S., Buckner, Randy L., Calhoun, Vince D., Castellanos, F. Xavier, Chen, Antao, Chen, Bing, Chen, Jiangtao, Chen, Xu, Colcombe, Stanley J., Courtney, William, Craddock, R. Cameron, Di Martino, Adriana, Dong, Hao-Ming, Fu, Xiaolan, Gong, Qiyong, Gorgolewski, Krzysztof J., Han, Ying, He, Ye, He, Yong, Ho, Erica, Holmes, Avram, Hou, Xiao-Hui, Huckins, Jeremy, Jiang, Tianzi, Jiang, Yi, Kelley, William, Kelly, Clare, King, Margaret, LaConte, Stephen M., Lainhart, Janet E., Lei, Xu, Li, Hui-Jie, Li, Kaiming, Li, Kuncheng, Lin, Qixiang, Liu, Dongqiang, Liu, Jia, Liu, Xun, Liu, Yijun, Lu, Guangming, Lu, Jie, Luna, Beatriz, Luo, Jing, Lurie, Daniel, Mao, Ying, Margulies, Daniel S., Mayer, Andrew R., Meindl, Thomas, Meyerand, Mary E., Nan, Weizhi, Nielsen, Jared A., O’Connor, David, Paulsen, David, Prabhakaran, Vivek, Qi, Zhigang, Qiu, Jiang, Shao, Chunhong, Shehzad, Zarrar, Tang, Weijun, Villringer, Arno, Wang, Huiling, Wang, Kai, Wei, Dongtao, Wei, Gao-Xia, Weng, Xu-Chu, Wu, Xuehai, Xu, Ting, Yang, Ning, Yang, Zhi, Zang, Yu-Feng, Zhang, Lei, Zhang, Qinglin, Zhang, Zhe, Zhang, Zhiqiang, Zhao, Ke, Zhen, Zonglei, Zhou, Yuan, Zhu, Xing-Ting, & Milham, Michael P. An open science resource for establishing reliability and reproducibility in functional connectomics. United States. https://doi.org/10.1038/sdata.2014.49
Zuo, Xi-Nian, Anderson, Jeffrey S., Bellec, Pierre, Birn, Rasmus M., Biswal, Bharat B., Blautzik, Janusch, Breitner, John C. S., Buckner, Randy L., Calhoun, Vince D., Castellanos, F. Xavier, Chen, Antao, Chen, Bing, Chen, Jiangtao, Chen, Xu, Colcombe, Stanley J., Courtney, William, Craddock, R. Cameron, Di Martino, Adriana, Dong, Hao-Ming, Fu, Xiaolan, Gong, Qiyong, Gorgolewski, Krzysztof J., Han, Ying, He, Ye, He, Yong, Ho, Erica, Holmes, Avram, Hou, Xiao-Hui, Huckins, Jeremy, Jiang, Tianzi, Jiang, Yi, Kelley, William, Kelly, Clare, King, Margaret, LaConte, Stephen M., Lainhart, Janet E., Lei, Xu, Li, Hui-Jie, Li, Kaiming, Li, Kuncheng, Lin, Qixiang, Liu, Dongqiang, Liu, Jia, Liu, Xun, Liu, Yijun, Lu, Guangming, Lu, Jie, Luna, Beatriz, Luo, Jing, Lurie, Daniel, Mao, Ying, Margulies, Daniel S., Mayer, Andrew R., Meindl, Thomas, Meyerand, Mary E., Nan, Weizhi, Nielsen, Jared A., O’Connor, David, Paulsen, David, Prabhakaran, Vivek, Qi, Zhigang, Qiu, Jiang, Shao, Chunhong, Shehzad, Zarrar, Tang, Weijun, Villringer, Arno, Wang, Huiling, Wang, Kai, Wei, Dongtao, Wei, Gao-Xia, Weng, Xu-Chu, Wu, Xuehai, Xu, Ting, Yang, Ning, Yang, Zhi, Zang, Yu-Feng, Zhang, Lei, Zhang, Qinglin, Zhang, Zhe, Zhang, Zhiqiang, Zhao, Ke, Zhen, Zonglei, Zhou, Yuan, Zhu, Xing-Ting, and Milham, Michael P. Tue . "An open science resource for establishing reliability and reproducibility in functional connectomics". United States. https://doi.org/10.1038/sdata.2014.49. https://www.osti.gov/servlets/purl/1624539.
@article{osti_1624539,
title = {An open science resource for establishing reliability and reproducibility in functional connectomics},
author = {Zuo, Xi-Nian and Anderson, Jeffrey S. and Bellec, Pierre and Birn, Rasmus M. and Biswal, Bharat B. and Blautzik, Janusch and Breitner, John C. S. and Buckner, Randy L. and Calhoun, Vince D. and Castellanos, F. Xavier and Chen, Antao and Chen, Bing and Chen, Jiangtao and Chen, Xu and Colcombe, Stanley J. and Courtney, William and Craddock, R. Cameron and Di Martino, Adriana and Dong, Hao-Ming and Fu, Xiaolan and Gong, Qiyong and Gorgolewski, Krzysztof J. and Han, Ying and He, Ye and He, Yong and Ho, Erica and Holmes, Avram and Hou, Xiao-Hui and Huckins, Jeremy and Jiang, Tianzi and Jiang, Yi and Kelley, William and Kelly, Clare and King, Margaret and LaConte, Stephen M. and Lainhart, Janet E. and Lei, Xu and Li, Hui-Jie and Li, Kaiming and Li, Kuncheng and Lin, Qixiang and Liu, Dongqiang and Liu, Jia and Liu, Xun and Liu, Yijun and Lu, Guangming and Lu, Jie and Luna, Beatriz and Luo, Jing and Lurie, Daniel and Mao, Ying and Margulies, Daniel S. and Mayer, Andrew R. and Meindl, Thomas and Meyerand, Mary E. and Nan, Weizhi and Nielsen, Jared A. and O’Connor, David and Paulsen, David and Prabhakaran, Vivek and Qi, Zhigang and Qiu, Jiang and Shao, Chunhong and Shehzad, Zarrar and Tang, Weijun and Villringer, Arno and Wang, Huiling and Wang, Kai and Wei, Dongtao and Wei, Gao-Xia and Weng, Xu-Chu and Wu, Xuehai and Xu, Ting and Yang, Ning and Yang, Zhi and Zang, Yu-Feng and Zhang, Lei and Zhang, Qinglin and Zhang, Zhe and Zhang, Zhiqiang and Zhao, Ke and Zhen, Zonglei and Zhou, Yuan and Zhu, Xing-Ting and Milham, Michael P.},
abstractNote = {Efforts to identify meaningful functional imaging-based biomarkers are limited by the ability to reliably characterize inter-individual differences in human brain function. Although a growing number of connectomics-based measures are reported to have moderate to high test-retest reliability, the variability in data acquisition, experimental designs, and analytic methods precludes the ability to generalize results. The Consortium for Reliability and Reproducibility (CoRR) is working to address this challenge and establish test-retest reliability as a minimum standard for methods development in functional connectomics. Specifically, CoRR has aggregated 1,629 typical individuals’ resting state fMRI (rfMRI) data (5,093 rfMRI scans) from 18 international sites, and is openly sharing them via the International Data-sharing Neuroimaging Initiative (INDI). To allow researchers to generate various estimates of reliability and reproducibility, a variety of data acquisition procedures and experimental designs are included. Similarly, to enable users to assess the impact of commonly encountered artifacts (for example, motion) on characterizations of inter-individual variation, datasets of varying quality are included.},
doi = {10.1038/sdata.2014.49},
journal = {Scientific Data},
number = 1,
volume = 1,
place = {United States},
year = {Tue Dec 09 00:00:00 EST 2014},
month = {Tue Dec 09 00:00:00 EST 2014}
}

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Multimodal Neuroimaging in Schizophrenia: Description and Dissemination
journal, August 2017


A Serverless Tool for Platform Agnostic Computational Experiment Management
preprint, January 2018


Tracking the dynamic functional connectivity structure of the human brain across the adult lifespan
journal, October 2018

  • Xia, Yunman; Chen, Qunlin; Shi, Liang
  • Human Brain Mapping, Vol. 40, Issue 3
  • DOI: 10.1002/hbm.24385

The influence of the volumetric composition of the intracranial space on neural activity in healthy subjects: a resting‐state functional magnetic resonance study
journal, December 2019

  • Porcu, Michele; Wintermark, Max; Suri, Jasjit S.
  • European Journal of Neuroscience, Vol. 51, Issue 9
  • DOI: 10.1111/ejn.14627

Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month
journal, December 2015


Neuroimaging in Psychiatry and Neurodevelopment: why the emperor has no clothes
journal, September 2019

  • Anderson, Ashley N.; King, Jace B.; Anderson, Jeffrey S.
  • The British Journal of Radiology, Vol. 92, Issue 1101
  • DOI: 10.1259/bjr.20180910

Brain structure–function associations identified in large-scale neuroimaging data
journal, January 2016


Knowing what you know in brain segmentation using Bayesian deep neural networks
text, January 2018


Homotopic Connectivity in Early Pontine Infarction Predicts Late Motor Recovery
journal, October 2018


Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping
journal, February 2017

  • Meszlényi, Regina J.; Hermann, Petra; Buza, Krisztian
  • Frontiers in Neuroscience, Vol. 11
  • DOI: 10.3389/fnins.2017.00075

Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture
journal, October 2017

  • Meszlényi, Regina J.; Buza, Krisztian; Vidnyánszky, Zoltán
  • Frontiers in Neuroinformatics, Vol. 11
  • DOI: 10.3389/fninf.2017.00061

Evaluating fMRI-Based Estimation of Eye Gaze During Naturalistic Viewing
journal, October 2019